what do we lean about the machine ? was does it do? what are the pisitive and negative aspects of it
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Explanation:
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
was does it do?
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model.
the following are the pisitive and negative aspects of it
Advantages and Disadvantages of Machine Learning Language
Easily identifies trends and patterns. Machine Learning can review large volumes of data and discover specific trends and patterns that would not be apparent to humans. ...
No human intervention needed (automation) ...
Continuous Improvement. ...
Handling multi-dimensional and multi-variety data. ...
Wide Applications.
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